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Stream/Area:
-
Subject:
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Paper ID:
IJSREM53582
Volume:
9 |
11 |
Nov 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The manual preparation of examination question papers is a repetitive, time-consuming, and error-prone process for educators. To overcome these challenges, the AI Exam Question Paper Generator has been developed to automate and optimize the question paper creation process using Artificial Intelligence (AI) and Natural Language Processing (NLP)techniques. The system allows teachers to input subjects, topics, and difficulty levels, after which the AI model intelligently generates or selects suitable questions from a pre-existing question bank. Transformer-based models such as BERT and T5 are employed for understanding and generating contextually appropriate questions [1][2]. Additionally, Machine Learning (ML) algorithms are utilized to classify questions into various difficulty levels, ensuring balanced paper composition and topic coverage [6]. The system reduces redundancy, minimizes human intervention, and enhances accuracy in exam paper generation. It also allows educators to export question papers in printable formats such as PDF or Word, ensuring convenience and usability. Overall, this project demonstrates how AI and NLP technologies can streamline the examination process, save time, and ensure fairness and consistency in educational assessments [7].
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Publication Date
10/10/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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